* feat: port LangSmith LLM Gateway routing from upstream (#1671, #1673, #1674, #1678)
Ports four upstream commits that add opt-in LLM call routing through the
LangSmith Gateway, preserving fork conventions (Bedrock/Fireworks model IDs,
no-agent-attribution, bun toolchain).
- #1671 (e9dc6e01): opt-in gateway routing — new gateway.py, team-settings
toggle, admin UI section, wired into make_model for all graph entrypoints
- #1673 (702ef908): dedicated LANGSMITH_GATEWAY_API_KEY precedence over
platform LANGSMITH_API_KEY
- #1674 (5f7c2f46): fix Fireworks gateway base URL to /fireworks (bare host,
SDK appends /v1/chat/completions) + SanitizeFireworksMessagesMiddleware
- #1678 (73b7d1c0): fix OpenAI Responses reasoning replay —
SanitizeOpenAIResponsesMiddleware, store/include config for encrypted
reasoning content, reasoning_effort coercion for Chat Completions fallback
Refs #134
* fix: downgrade gateway not-routed log to debug, add Bedrock UI note, add sanitizer parity
- Downgrade logger.warning to logger.debug in gateway_overrides for
not-routed providers and missing API key (Bedrock is the default
provider in this fork, so these are expected steady states)
- Add Bedrock to the LLMGatewaySection route-toggle description so
admins know it is not routed through the gateway
- Add SanitizeOpenAIResponsesMiddleware to chat.py for parity with
server.py and reviewer.py
- Restore the Bedrock region comment in model.py that explains the
AWS_REGION / AWS_DEFAULT_REGION precedence
Refs #138
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Co-authored-by: amoussa1229 <166072409+amoussa1229@users.noreply.github.com>
* fix: reset stale sandbox creation sentinel
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* fix: treat SANDBOX_CREATING as a timestamped cross-process lock
Only reset the sentinel when proven stale (older than the creation
timeout); otherwise wait for the worker that holds the lock so a
concurrent run does not create a duplicate sandbox.
* feat(analyzer): outcomes dataset + bootstrap/continual split via skills
Rename the review_style_analyzer graph to `analyzer` and split it into two
modes, plus capture reviewer finding outcomes for continual learning.
- Outcomes dataset: upsert resolved-by-commit (positive), dismissed (false
positive), and GitHub/Slack thumbs findings into a single LangSmith dataset
(openswe-reviewer-outcomes), keyed deterministically per finding+source.
Emit points wired into update_finding, resolve_finding_thread, and the
GitHub/Slack reaction handlers.
- Two playbooks delivered as deepagents skills (bootstrap-repo-analysis,
continual-learning), served as virtual files via a CompositeBackend /skills/
route + StateBackend (seeded into the run files channel at invoke time, never
written to the sandbox). Mode is set by the launcher; continual runs fall
back to the GitHub App installation token.
- Split launcher into start_bootstrap_analysis + start_continual_run; register
a per-repo nightly continual-learning cron when bootstrap completes.
- New read_finding_outcomes tool feeds confirmed/dismissed findings back to the
continual playbook.
Tests for outcome label mapping, skills helper, and cron idempotency.
* fix(analyzer): anchor continual cron runs to a real thread_id
The nightly continual-learning cron is threadless, and get_analyzer
early-returns an empty agent when configurable.thread_id is missing — so
every cron-launched run no-op'd before reading outcomes or saving a refined
prompt. Include the repo's deterministic analyzer thread_id in the continual
run configurable so the run executes; the threadless run carries no message
history, so nightly runs don't accumulate context.
* refactor(analyzer): move cron lifecycle calls out of the review-styles store
Drop the inline `analyzer_cron` imports from review_styles.py (added only to
dodge a circular import) by relocating the cron-trigger calls to the layer
above the store: registration to the save_review_style tool (after a prompt is
saved) and removal to the dashboard delete route. review_styles.py is now a
pure store again with top-level imports only.
* refactor: hoist reviewer_outcomes imports to module level
Move the two inline emit_finding_status_outcome imports introduced in this PR
(update_finding, resolve_finding_thread) to top-level imports. reviewer_outcomes
only depends on langsmith, so there is no circular import to avoid.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
2026-06-01 13:25:12 -07:00
Renamed from agent/review_style_analyzer.py (Browse further)
